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A Latent Structure Approach to Measuring Reputation

Author

Listed:
  • Kwamena K. Quagrainie

    (Aquaculture/Fisheries Center, University of Arkansas at Pine Bluff)

  • Jill J. McCluskey

    () (Department of Agricultural and Resource Economics, Washington State University)

  • Maria L. Loureiro

    (Department of Agricultural and Resource Economics, Colorado State University)

Abstract

The present study provides estimates of reputation as a dynamic latent variable that is determined by price premiums and market data. Further, it analyzes the effect of extrinsic factors on reputation. Specifically, this study seeks to (i) quantify the reputation of Washington apples over time, (ii) study the dynamic nature of reputation, and (iii) analyze the effect of the label “Washington Apple.” The model adopted in this study is the dynamic multiple-indicator multiple-cause (DYMIMIC) modeling approach, which is a special case of the general latent variable modeling scheme called “state-space” models. Both DYMIMIC and hedonic approaches are applied to the data on Washington apples, and results from the two approaches are compared.

Suggested Citation

  • Kwamena K. Quagrainie & Jill J. McCluskey & Maria L. Loureiro, 2003. "A Latent Structure Approach to Measuring Reputation," Southern Economic Journal, Southern Economic Association, vol. 69(4), pages 966-977, April.
  • Handle: RePEc:sej:ancoec:v:69:4:y:2003:p:966-977
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    Citations

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    Cited by:

    1. Janvier D. Nkurunziza, 2005. "Reputation and Credit without Collateral in Africa`s Formal Banking," Economics Series Working Papers WPS/2005-02, University of Oxford, Department of Economics.
    2. He, Chenyi & Gao, Zhifeng & House, Lisa & Guan, Zhengfei, 2016. "Impact of Sensory Quality and Labels on Consumer Preference of Fresh Strawberries," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230122, Southern Agricultural Economics Association.
    3. Loureiro, Maria L. & Umberger, Wendy J., 2007. "A choice experiment model for beef: What US consumer responses tell us about relative preferences for food safety, country-of-origin labeling and traceability," Food Policy, Elsevier, vol. 32(4), pages 496-514, August.
    4. Rouviere, Elodie & Soubeyran, Raphael, 2008. "Collective Reputation, Entry and Minimum Safety Standard," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44465, European Association of Agricultural Economists.
    5. Jason A. Winfree & Jill J. McCluskey, 2005. "Collective Reputation and Quality," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 206-213.
    6. Mukherji, Ananda & Mukherji, Jyotsna & Dibrell, Clay & Francis, John D., 2013. "Overbidding in cross-border acquisitions: Misperceptions in assessing and valuing knowledge," Journal of World Business, Elsevier, vol. 48(1), pages 39-46.
    7. Marco A. Palma & Alba J. Collart & Christopher J. Chammoun, 2015. "Information Asymmetry in Consumer Perceptions of Quality-Differentiated Food Products," Journal of Consumer Affairs, Wiley Blackwell, vol. 49(3), pages 596-612, November.
    8. Alexander E. Saak, 2012. "Collective Reputation, Social Norms, and Participation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(3), pages 763-785.
    9. Rutherford, William & McGimpsey, William & Narayan, Prakash, 2013. "Evaluation of New Zealand’s regulatory framework to support the reputation of horticultural commodity exports," 2013 Conference, August 28-30, 2013, Christchurch, New Zealand 187038, New Zealand Agricultural and Resource Economics Society.
    10. Deselnicu, Oana C. & Costanigro, Marco & Souza-Monteiro, Diogo M. & McFadden, Dawn Thilmany, 2013. "A Meta-Analysis of Geographical Indication Food Valuation Studies: What Drives the Premium for Origin-Based Labels?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(2), August.
    11. McCluskey, Jill J. & Loureiro, Maria L., 2003. "Consumer Preferences And Willingness To Pay For Food Labeling: A Discussion Of Empirical Studies," Journal of Food Distribution Research, Food Distribution Research Society, vol. 34(03), November.

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